Results 1 to 10 of about 516,084 (257)
Optimization of the 2P fifth degree convolution kernel in the spectral domain [PDF]
Bulletin of Natural Sciences Research, 2023 The first part of the paper describes a two-parameter (2P) fifth-order interpolation kernel, r. After that, from the 2P kernel, the kernel components were created.
Savić Nataša +2 more
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Mathematics, 2023 In the present paper, the authors introduce and investigate two new subclasses of the function class B of bi-univalent analytic functions in an open unit disk U connected with a linear q-convolution operator. The bounds on the coefficients |c2|,|c3| and |
Daniel Breaz +3 more
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A Novel Numerical Method for Computing Subdivision Depth of Quaternary Schemes
Mathematics, 2021 In this paper, an advanced computational technique has been presented to compute the error bounds and subdivision depth of quaternary subdivision schemes.
Aamir Shahzad +5 more
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Multi-Scale Feature Interaction Network for Remote Sensing Change Detection
Remote Sensing, 2023 Change detection (CD) is an important remote sensing (RS) data analysis technology. Existing remote sensing change detection (RS-CD) technologies cannot fully consider situations where pixels between bitemporal images do not correspond well on a one-to ...
Chong Zhang, Yonghong Zhang, Haifeng Lin
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Certain Properties of Harmonic Functions Defined by a Second-Order Differential Inequality
Mathematics, 2023 The Theory of Complex Functions has been studied by many scientists and its application area has become a very wide subject. Harmonic functions play a crucial role in various fields of mathematics, physics, engineering, and other scientific disciplines ...
Daniel Breaz +4 more
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Grid Graph Reduction for Efficient Shortest Pathfinding
IEEE Access, 2023 Single-pair shortest pathfinding (SP) algorithms are used to identify the path with the minimum cost between two vertices in a given graph. However, their time complexity can rapidly increase as the graph size grows.
Chan-Young Kim, Sanghoon Sull
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Dynamic Convolution: Attention Over Convolution Kernels [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 CVPR 2020 (Oral)
Chen, Yinpeng +5 more
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Node-Feature Convolution for Graph Convolutional Networks [PDF]
Pattern Recognition, 2022 Graph convolutional network (GCN) is an effective neural network model for graph representation learning. However, standard GCN suffers from three main limitations: (1) most real-world graphs have no regular connectivity and node degrees can range from one to hundreds or thousands, (2) neighboring nodes are aggregated with fixed weights, and (3) node ...
Zhang, L., Song, H., Aletras, N., Lu, H.
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On Restoration of the Blur Parameter in the Optical Sectioning Problem
Современные информационные технологии и IT-образование, 2022 The article considers the problem of finding the blur parameter between two images for the optical sectioning problem, in which the blur model has a natural optical origin associated with the use of incoherent white light as a radiation source in the ...
Sergey Bazhitov
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IEEE Access, 2022 This paper aims at providing a framework suitable for justification of classical convolution integral and Fourier transform in many cases not covered by the usual definition of integral used for signal theory applications.
Zeljko Juric, Harun Siljak
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